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NataliiaRastoropova/Wine_preferences_note_book.ipynb

Created May 18, 2019 20:24
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Wine_preferences_note_book.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
"from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV, cross_val_score\n",
"from sklearn.svm import SVC\n",
"from sklearn.linear_model import SGDClassifier\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier\n",
"from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, mean_absolute_error\n",
"from pprint import pprint\n",
"import plotly.graph_objs as go\n",
"from plotly.offline import iplot\n",
"from pandas.plotting import scatter_matrix\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import ListedColormap\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
"from sklearn.naive_bayes import GaussianNB\n",
"from sklearn.linear_model import LogisticRegression\n",
"import seaborn as sns\n",
"from sklearn import model_selection\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Load in the red wine data from the UCI ML website._"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"pd.set_option('display.width', 1000)\n",
"pd.set_option('display.max_columns',20)\n",
"\n",
"df = pd.read_csv('winequality-red.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Let's investigate data set_"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fixed acidity</th>\n",
" <th>volatile acidity</th>\n",
" <th>citric acid</th>\n",
" <th>residual sugar</th>\n",
" <th>chlorides</th>\n",
" <th>free sulfur dioxide</th>\n",
" <th>total sulfur dioxide</th>\n",
" <th>density</th>\n",
" <th>pH</th>\n",
" <th>sulphates</th>\n",
" <th>alcohol</th>\n",
" <th>quality</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>7.4</td>\n",
" <td>0.70</td>\n",
" <td>0.00</td>\n",
" <td>1.9</td>\n",
" <td>0.076</td>\n",
" <td>11.0</td>\n",
" <td>34.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.51</td>\n",
" <td>0.56</td>\n",
" <td>9.4</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>7.8</td>\n",
" <td>0.88</td>\n",
" <td>0.00</td>\n",
" <td>2.6</td>\n",
" <td>0.098</td>\n",
" <td>25.0</td>\n",
" <td>67.0</td>\n",
" <td>0.9968</td>\n",
" <td>3.20</td>\n",
" <td>0.68</td>\n",
" <td>9.8</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>7.8</td>\n",
" <td>0.76</td>\n",
" <td>0.04</td>\n",
" <td>2.3</td>\n",
" <td>0.092</td>\n",
" <td>15.0</td>\n",
" <td>54.0</td>\n",
" <td>0.9970</td>\n",
" <td>3.26</td>\n",
" <td>0.65</td>\n",
" <td>9.8</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>11.2</td>\n",
" <td>0.28</td>\n",
" <td>0.56</td>\n",
" <td>1.9</td>\n",
" <td>0.075</td>\n",
" <td>17.0</td>\n",
" <td>60.0</td>\n",
" <td>0.9980</td>\n",
" <td>3.16</td>\n",
" <td>0.58</td>\n",
" <td>9.8</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7.4</td>\n",
" <td>0.70</td>\n",
" <td>0.00</td>\n",
" <td>1.9</td>\n",
" <td>0.076</td>\n",
" <td>11.0</td>\n",
" <td>34.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.51</td>\n",
" <td>0.56</td>\n",
" <td>9.4</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>7.4</td>\n",
" <td>0.66</td>\n",
" <td>0.00</td>\n",
" <td>1.8</td>\n",
" <td>0.075</td>\n",
" <td>13.0</td>\n",
" <td>40.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.51</td>\n",
" <td>0.56</td>\n",
" <td>9.4</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7.9</td>\n",
" <td>0.60</td>\n",
" <td>0.06</td>\n",
" <td>1.6</td>\n",
" <td>0.069</td>\n",
" <td>15.0</td>\n",
" <td>59.0</td>\n",
" <td>0.9964</td>\n",
" <td>3.30</td>\n",
" <td>0.46</td>\n",
" <td>9.4</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7.3</td>\n",
" <td>0.65</td>\n",
" <td>0.00</td>\n",
" <td>1.2</td>\n",
" <td>0.065</td>\n",
" <td>15.0</td>\n",
" <td>21.0</td>\n",
" <td>0.9946</td>\n",
" <td>3.39</td>\n",
" <td>0.47</td>\n",
" <td>10.0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>7.8</td>\n",
" <td>0.58</td>\n",
" <td>0.02</td>\n",
" <td>2.0</td>\n",
" <td>0.073</td>\n",
" <td>9.0</td>\n",
" <td>18.0</td>\n",
" <td>0.9968</td>\n",
" <td>3.36</td>\n",
" <td>0.57</td>\n",
" <td>9.5</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>7.5</td>\n",
" <td>0.50</td>\n",
" <td>0.36</td>\n",
" <td>6.1</td>\n",
" <td>0.071</td>\n",
" <td>17.0</td>\n",
" <td>102.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.35</td>\n",
" <td>0.80</td>\n",
" <td>10.5</td>\n",
" <td>5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality\n",
"0 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5\n",
"1 7.8 0.88 0.00 2.6 0.098 25.0 67.0 0.9968 3.20 0.68 9.8 5\n",
"2 7.8 0.76 0.04 2.3 0.092 15.0 54.0 0.9970 3.26 0.65 9.8 5\n",
"3 11.2 0.28 0.56 1.9 0.075 17.0 60.0 0.9980 3.16 0.58 9.8 6\n",
"4 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5\n",
"5 7.4 0.66 0.00 1.8 0.075 13.0 40.0 0.9978 3.51 0.56 9.4 5\n",
"6 7.9 0.60 0.06 1.6 0.069 15.0 59.0 0.9964 3.30 0.46 9.4 5\n",
"7 7.3 0.65 0.00 1.2 0.065 15.0 21.0 0.9946 3.39 0.47 10.0 7\n",
"8 7.8 0.58 0.02 2.0 0.073 9.0 18.0 0.9968 3.36 0.57 9.5 7\n",
"9 7.5 0.50 0.36 6.1 0.071 17.0 102.0 0.9978 3.35 0.80 10.5 5"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Let's check how the data is distributed_"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 1599 entries, 0 to 1598\n",
"Data columns (total 12 columns):\n",
"fixed acidity 1599 non-null float64\n",
"volatile acidity 1599 non-null float64\n",
"citric acid 1599 non-null float64\n",
"residual sugar 1599 non-null float64\n",
"chlorides 1599 non-null float64\n",
"free sulfur dioxide 1599 non-null float64\n",
"total sulfur dioxide 1599 non-null float64\n",
"density 1599 non-null float64\n",
"pH 1599 non-null float64\n",
"sulphates 1599 non-null float64\n",
"alcohol 1599 non-null float64\n",
"quality 1599 non-null int64\n",
"dtypes: float64(11), int64(1)\n",
"memory usage: 149.9 KB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Let’s have a look at data dimensionality, feature names, and feature types. (1599<- rows, 12<-colums)_"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1599, 12)"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Let’s printing out column names_"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar', 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density', 'pH', 'sulphates', 'alcohol', 'quality'], dtype='object')"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _The describe method shows basic statistical characteristics of each numerical feature_"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fixed acidity</th>\n",
" <th>volatile acidity</th>\n",
" <th>citric acid</th>\n",
" <th>residual sugar</th>\n",
" <th>chlorides</th>\n",
" <th>free sulfur dioxide</th>\n",
" <th>total sulfur dioxide</th>\n",
" <th>density</th>\n",
" <th>pH</th>\n",
" <th>sulphates</th>\n",
" <th>alcohol</th>\n",
" <th>quality</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" <td>1599.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>8.319637</td>\n",
" <td>0.527821</td>\n",
" <td>0.270976</td>\n",
" <td>2.538806</td>\n",
" <td>0.087467</td>\n",
" <td>15.874922</td>\n",
" <td>46.467792</td>\n",
" <td>0.996747</td>\n",
" <td>3.311113</td>\n",
" <td>0.658149</td>\n",
" <td>10.422983</td>\n",
" <td>5.636023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1.741096</td>\n",
" <td>0.179060</td>\n",
" <td>0.194801</td>\n",
" <td>1.409928</td>\n",
" <td>0.047065</td>\n",
" <td>10.460157</td>\n",
" <td>32.895324</td>\n",
" <td>0.001887</td>\n",
" <td>0.154386</td>\n",
" <td>0.169507</td>\n",
" <td>1.065668</td>\n",
" <td>0.807569</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>4.600000</td>\n",
" <td>0.120000</td>\n",
" <td>0.000000</td>\n",
" <td>0.900000</td>\n",
" <td>0.012000</td>\n",
" <td>1.000000</td>\n",
" <td>6.000000</td>\n",
" <td>0.990070</td>\n",
" <td>2.740000</td>\n",
" <td>0.330000</td>\n",
" <td>8.400000</td>\n",
" <td>3.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>7.100000</td>\n",
" <td>0.390000</td>\n",
" <td>0.090000</td>\n",
" <td>1.900000</td>\n",
" <td>0.070000</td>\n",
" <td>7.000000</td>\n",
" <td>22.000000</td>\n",
" <td>0.995600</td>\n",
" <td>3.210000</td>\n",
" <td>0.550000</td>\n",
" <td>9.500000</td>\n",
" <td>5.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>7.900000</td>\n",
" <td>0.520000</td>\n",
" <td>0.260000</td>\n",
" <td>2.200000</td>\n",
" <td>0.079000</td>\n",
" <td>14.000000</td>\n",
" <td>38.000000</td>\n",
" <td>0.996750</td>\n",
" <td>3.310000</td>\n",
" <td>0.620000</td>\n",
" <td>10.200000</td>\n",
" <td>6.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>9.200000</td>\n",
" <td>0.640000</td>\n",
" <td>0.420000</td>\n",
" <td>2.600000</td>\n",
" <td>0.090000</td>\n",
" <td>21.000000</td>\n",
" <td>62.000000</td>\n",
" <td>0.997835</td>\n",
" <td>3.400000</td>\n",
" <td>0.730000</td>\n",
" <td>11.100000</td>\n",
" <td>6.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>15.900000</td>\n",
" <td>1.580000</td>\n",
" <td>1.000000</td>\n",
" <td>15.500000</td>\n",
" <td>0.611000</td>\n",
" <td>72.000000</td>\n",
" <td>289.000000</td>\n",
" <td>1.003690</td>\n",
" <td>4.010000</td>\n",
" <td>2.000000</td>\n",
" <td>14.900000</td>\n",
" <td>8.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality\n",
"count 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000 1599.000000\n",
"mean 8.319637 0.527821 0.270976 2.538806 0.087467 15.874922 46.467792 0.996747 3.311113 0.658149 10.422983 5.636023\n",
"std 1.741096 0.179060 0.194801 1.409928 0.047065 10.460157 32.895324 0.001887 0.154386 0.169507 1.065668 0.807569\n",
"min 4.600000 0.120000 0.000000 0.900000 0.012000 1.000000 6.000000 0.990070 2.740000 0.330000 8.400000 3.000000\n",
"25% 7.100000 0.390000 0.090000 1.900000 0.070000 7.000000 22.000000 0.995600 3.210000 0.550000 9.500000 5.000000\n",
"50% 7.900000 0.520000 0.260000 2.200000 0.079000 14.000000 38.000000 0.996750 3.310000 0.620000 10.200000 6.000000\n",
"75% 9.200000 0.640000 0.420000 2.600000 0.090000 21.000000 62.000000 0.997835 3.400000 0.730000 11.100000 6.000000\n",
"max 15.900000 1.580000 1.000000 15.500000 0.611000 72.000000 289.000000 1.003690 4.010000 2.000000 14.900000 8.000000"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fixed acidity</th>\n",
" <th>volatile acidity</th>\n",
" <th>citric acid</th>\n",
" <th>residual sugar</th>\n",
" <th>chlorides</th>\n",
" <th>free sulfur dioxide</th>\n",
" <th>total sulfur dioxide</th>\n",
" <th>density</th>\n",
" <th>pH</th>\n",
" <th>sulphates</th>\n",
" <th>alcohol</th>\n",
" <th>quality</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>495</th>\n",
" <td>10.7</td>\n",
" <td>0.350</td>\n",
" <td>0.53</td>\n",
" <td>2.60</td>\n",
" <td>0.070</td>\n",
" <td>5.0</td>\n",
" <td>16.0</td>\n",
" <td>0.99720</td>\n",
" <td>3.15</td>\n",
" <td>0.65</td>\n",
" <td>11.0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1403</th>\n",
" <td>7.2</td>\n",
" <td>0.330</td>\n",
" <td>0.33</td>\n",
" <td>1.70</td>\n",
" <td>0.061</td>\n",
" <td>3.0</td>\n",
" <td>13.0</td>\n",
" <td>0.99600</td>\n",
" <td>3.23</td>\n",
" <td>1.10</td>\n",
" <td>10.0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>390</th>\n",
" <td>5.6</td>\n",
" <td>0.850</td>\n",
" <td>0.05</td>\n",
" <td>1.40</td>\n",
" <td>0.045</td>\n",
" <td>12.0</td>\n",
" <td>88.0</td>\n",
" <td>0.99240</td>\n",
" <td>3.56</td>\n",
" <td>0.82</td>\n",
" <td>12.9</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1061</th>\n",
" <td>9.1</td>\n",
" <td>0.400</td>\n",
" <td>0.50</td>\n",
" <td>1.80</td>\n",
" <td>0.071</td>\n",
" <td>7.0</td>\n",
" <td>16.0</td>\n",
" <td>0.99462</td>\n",
" <td>3.21</td>\n",
" <td>0.69</td>\n",
" <td>12.5</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1202</th>\n",
" <td>8.6</td>\n",
" <td>0.420</td>\n",
" <td>0.39</td>\n",
" <td>1.80</td>\n",
" <td>0.068</td>\n",
" <td>6.0</td>\n",
" <td>12.0</td>\n",
" <td>0.99516</td>\n",
" <td>3.35</td>\n",
" <td>0.69</td>\n",
" <td>11.7</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>828</th>\n",
" <td>7.8</td>\n",
" <td>0.570</td>\n",
" <td>0.09</td>\n",
" <td>2.30</td>\n",
" <td>0.065</td>\n",
" <td>34.0</td>\n",
" <td>45.0</td>\n",
" <td>0.99417</td>\n",
" <td>3.46</td>\n",
" <td>0.74</td>\n",
" <td>12.7</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>481</th>\n",
" <td>9.4</td>\n",
" <td>0.300</td>\n",
" <td>0.56</td>\n",
" <td>2.80</td>\n",
" <td>0.080</td>\n",
" <td>6.0</td>\n",
" <td>17.0</td>\n",
" <td>0.99640</td>\n",
" <td>3.15</td>\n",
" <td>0.92</td>\n",
" <td>11.7</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>455</th>\n",
" <td>11.3</td>\n",
" <td>0.620</td>\n",
" <td>0.67</td>\n",
" <td>5.20</td>\n",
" <td>0.086</td>\n",
" <td>6.0</td>\n",
" <td>19.0</td>\n",
" <td>0.99880</td>\n",
" <td>3.22</td>\n",
" <td>0.69</td>\n",
" <td>13.4</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1449</th>\n",
" <td>7.2</td>\n",
" <td>0.380</td>\n",
" <td>0.31</td>\n",
" <td>2.00</td>\n",
" <td>0.056</td>\n",
" <td>15.0</td>\n",
" <td>29.0</td>\n",
" <td>0.99472</td>\n",
" <td>3.23</td>\n",
" <td>0.76</td>\n",
" <td>11.3</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>440</th>\n",
" <td>12.6</td>\n",
" <td>0.310</td>\n",
" <td>0.72</td>\n",
" <td>2.20</td>\n",
" <td>0.072</td>\n",
" <td>6.0</td>\n",
" <td>29.0</td>\n",
" <td>0.99870</td>\n",
" <td>2.88</td>\n",
" <td>0.82</td>\n",
" <td>9.8</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1549</th>\n",
" <td>7.4</td>\n",
" <td>0.360</td>\n",
" <td>0.30</td>\n",
" <td>1.80</td>\n",
" <td>0.074</td>\n",
" <td>17.0</td>\n",
" <td>24.0</td>\n",
" <td>0.99419</td>\n",
" <td>3.24</td>\n",
" <td>0.70</td>\n",
" <td>11.4</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>498</th>\n",
" <td>10.7</td>\n",
" <td>0.350</td>\n",
" <td>0.53</td>\n",
" <td>2.60</td>\n",
" <td>0.070</td>\n",
" <td>5.0</td>\n",
" <td>16.0</td>\n",
" <td>0.99720</td>\n",
" <td>3.15</td>\n",
" <td>0.65</td>\n",
" <td>11.0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>267</th>\n",
" <td>7.9</td>\n",
" <td>0.350</td>\n",
" <td>0.46</td>\n",
" <td>3.60</td>\n",
" <td>0.078</td>\n",
" <td>15.0</td>\n",
" <td>37.0</td>\n",
" <td>0.99730</td>\n",
" <td>3.35</td>\n",
" <td>0.86</td>\n",
" <td>12.8</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1269</th>\n",
" <td>5.5</td>\n",
" <td>0.490</td>\n",
" <td>0.03</td>\n",
" <td>1.80</td>\n",
" <td>0.044</td>\n",
" <td>28.0</td>\n",
" <td>87.0</td>\n",
" <td>0.99080</td>\n",
" <td>3.50</td>\n",
" <td>0.82</td>\n",
" <td>14.0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>278</th>\n",
" <td>10.3</td>\n",
" <td>0.320</td>\n",
" <td>0.45</td>\n",
" <td>6.40</td>\n",
" <td>0.073</td>\n",
" <td>5.0</td>\n",
" <td>13.0</td>\n",
" <td>0.99760</td>\n",
" <td>3.23</td>\n",
" <td>0.82</td>\n",
" <td>12.6</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1120</th>\n",
" <td>7.9</td>\n",
" <td>0.540</td>\n",
" <td>0.34</td>\n",
" <td>2.50</td>\n",
" <td>0.076</td>\n",
" <td>8.0</td>\n",
" <td>17.0</td>\n",
" <td>0.99235</td>\n",
" <td>3.20</td>\n",
" <td>0.72</td>\n",
" <td>13.1</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>588</th>\n",
" <td>5.0</td>\n",
" <td>0.420</td>\n",
" <td>0.24</td>\n",
" <td>2.00</td>\n",
" <td>0.060</td>\n",
" <td>19.0</td>\n",
" <td>50.0</td>\n",
" <td>0.99170</td>\n",
" <td>3.72</td>\n",
" <td>0.74</td>\n",
" <td>14.0</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1090</th>\n",
" <td>10.0</td>\n",
" <td>0.260</td>\n",
" <td>0.54</td>\n",
" <td>1.90</td>\n",
" <td>0.083</td>\n",
" <td>42.0</td>\n",
" <td>74.0</td>\n",
" <td>0.99451</td>\n",
" <td>2.98</td>\n",
" <td>0.63</td>\n",
" <td>11.8</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>488</th>\n",
" <td>11.6</td>\n",
" <td>0.320</td>\n",
" <td>0.55</td>\n",
" <td>2.80</td>\n",
" <td>0.081</td>\n",
" <td>35.0</td>\n",
" <td>67.0</td>\n",
" <td>1.00020</td>\n",
" <td>3.32</td>\n",
" <td>0.92</td>\n",
" <td>10.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>491</th>\n",
" <td>9.2</td>\n",
" <td>0.410</td>\n",
" <td>0.50</td>\n",
" <td>2.50</td>\n",
" <td>0.055</td>\n",
" <td>12.0</td>\n",
" <td>25.0</td>\n",
" <td>0.99520</td>\n",
" <td>3.34</td>\n",
" <td>0.79</td>\n",
" <td>13.3</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>996</th>\n",
" <td>5.6</td>\n",
" <td>0.660</td>\n",
" <td>0.00</td>\n",
" <td>2.20</td>\n",
" <td>0.087</td>\n",
" <td>3.0</td>\n",
" <td>11.0</td>\n",
" <td>0.99378</td>\n",
" <td>3.71</td>\n",
" <td>0.63</td>\n",
" <td>12.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1132</th>\n",
" <td>7.4</td>\n",
" <td>0.360</td>\n",
" <td>0.34</td>\n",
" <td>1.80</td>\n",
" <td>0.075</td>\n",
" <td>18.0</td>\n",
" <td>38.0</td>\n",
" <td>0.99330</td>\n",
" <td>3.38</td>\n",
" <td>0.88</td>\n",
" <td>13.6</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>492</th>\n",
" <td>8.9</td>\n",
" <td>0.400</td>\n",
" <td>0.51</td>\n",
" <td>2.60</td>\n",
" <td>0.052</td>\n",
" <td>13.0</td>\n",
" <td>27.0</td>\n",
" <td>0.99500</td>\n",
" <td>3.32</td>\n",
" <td>0.90</td>\n",
" <td>13.4</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>357</th>\n",
" <td>10.5</td>\n",
" <td>0.420</td>\n",
" <td>0.66</td>\n",
" <td>2.95</td>\n",
" <td>0.116</td>\n",
" <td>12.0</td>\n",
" <td>29.0</td>\n",
" <td>0.99700</td>\n",
" <td>3.24</td>\n",
" <td>0.75</td>\n",
" <td>11.7</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1133</th>\n",
" <td>7.2</td>\n",
" <td>0.480</td>\n",
" <td>0.07</td>\n",
" <td>5.50</td>\n",
" <td>0.089</td>\n",
" <td>10.0</td>\n",
" <td>18.0</td>\n",
" <td>0.99684</td>\n",
" <td>3.37</td>\n",
" <td>0.68</td>\n",
" <td>11.2</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1134</th>\n",
" <td>8.5</td>\n",
" <td>0.280</td>\n",
" <td>0.35</td>\n",
" <td>1.70</td>\n",
" <td>0.061</td>\n",
" <td>6.0</td>\n",
" <td>15.0</td>\n",
" <td>0.99524</td>\n",
" <td>3.30</td>\n",
" <td>0.74</td>\n",
" <td>11.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>896</th>\n",
" <td>8.3</td>\n",
" <td>0.310</td>\n",
" <td>0.39</td>\n",
" <td>2.40</td>\n",
" <td>0.078</td>\n",
" <td>17.0</td>\n",
" <td>43.0</td>\n",
" <td>0.99444</td>\n",
" <td>3.31</td>\n",
" <td>0.77</td>\n",
" <td>12.5</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>887</th>\n",
" <td>10.7</td>\n",
" <td>0.520</td>\n",
" <td>0.38</td>\n",
" <td>2.60</td>\n",
" <td>0.066</td>\n",
" <td>29.0</td>\n",
" <td>56.0</td>\n",
" <td>0.99577</td>\n",
" <td>3.15</td>\n",
" <td>0.79</td>\n",
" <td>12.1</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>901</th>\n",
" <td>7.4</td>\n",
" <td>0.635</td>\n",
" <td>0.10</td>\n",
" <td>2.40</td>\n",
" <td>0.080</td>\n",
" <td>16.0</td>\n",
" <td>33.0</td>\n",
" <td>0.99736</td>\n",
" <td>3.58</td>\n",
" <td>0.69</td>\n",
" <td>10.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>902</th>\n",
" <td>7.4</td>\n",
" <td>0.635</td>\n",
" <td>0.10</td>\n",
" <td>2.40</td>\n",
" <td>0.080</td>\n",
" <td>16.0</td>\n",
" <td>33.0</td>\n",
" <td>0.99736</td>\n",
" <td>3.58</td>\n",
" <td>0.69</td>\n",
" <td>10.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>948</th>\n",
" <td>8.9</td>\n",
" <td>0.120</td>\n",
" <td>0.45</td>\n",
" <td>1.80</td>\n",
" <td>0.075</td>\n",
" <td>10.0</td>\n",
" <td>21.0</td>\n",
" <td>0.99552</td>\n",
" <td>3.41</td>\n",
" <td>0.76</td>\n",
" <td>11.9</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>949</th>\n",
" <td>8.9</td>\n",
" <td>0.120</td>\n",
" <td>0.45</td>\n",
" <td>1.80</td>\n",
" <td>0.075</td>\n",
" <td>10.0</td>\n",
" <td>21.0</td>\n",
" <td>0.99552</td>\n",
" <td>3.41</td>\n",
" <td>0.76</td>\n",
" <td>11.9</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>950</th>\n",
" <td>8.9</td>\n",
" <td>0.120</td>\n",
" <td>0.45</td>\n",
" <td>1.80</td>\n",
" <td>0.075</td>\n",
" <td>10.0</td>\n",
" <td>21.0</td>\n",
" <td>0.99552</td>\n",
" <td>3.41</td>\n",
" <td>0.76</td>\n",
" <td>11.9</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>951</th>\n",
" <td>8.3</td>\n",
" <td>0.280</td>\n",
" <td>0.48</td>\n",
" <td>2.10</td>\n",
" <td>0.093</td>\n",
" <td>6.0</td>\n",
" <td>12.0</td>\n",
" <td>0.99408</td>\n",
" <td>3.26</td>\n",
" <td>0.62</td>\n",
" <td>12.4</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>952</th>\n",
" <td>8.2</td>\n",
" <td>0.310</td>\n",
" <td>0.40</td>\n",
" <td>2.20</td>\n",
" <td>0.058</td>\n",
" <td>6.0</td>\n",
" <td>10.0</td>\n",
" <td>0.99536</td>\n",
" <td>3.31</td>\n",
" <td>0.68</td>\n",
" <td>11.2</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1192</th>\n",
" <td>7.2</td>\n",
" <td>0.250</td>\n",
" <td>0.37</td>\n",
" <td>2.50</td>\n",
" <td>0.063</td>\n",
" <td>11.0</td>\n",
" <td>41.0</td>\n",
" <td>0.99439</td>\n",
" <td>3.52</td>\n",
" <td>0.80</td>\n",
" <td>12.4</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>953</th>\n",
" <td>10.2</td>\n",
" <td>0.340</td>\n",
" <td>0.48</td>\n",
" <td>2.10</td>\n",
" <td>0.052</td>\n",
" <td>5.0</td>\n",
" <td>9.0</td>\n",
" <td>0.99458</td>\n",
" <td>3.20</td>\n",
" <td>0.69</td>\n",
" <td>12.1</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>230</th>\n",
" <td>5.2</td>\n",
" <td>0.480</td>\n",
" <td>0.04</td>\n",
" <td>1.60</td>\n",
" <td>0.054</td>\n",
" <td>19.0</td>\n",
" <td>106.0</td>\n",
" <td>0.99270</td>\n",
" <td>3.54</td>\n",
" <td>0.62</td>\n",
" <td>12.2</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1156</th>\n",
" <td>8.5</td>\n",
" <td>0.180</td>\n",
" <td>0.51</td>\n",
" <td>1.75</td>\n",
" <td>0.071</td>\n",
" <td>45.0</td>\n",
" <td>88.0</td>\n",
" <td>0.99524</td>\n",
" <td>3.33</td>\n",
" <td>0.76</td>\n",
" <td>11.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>958</th>\n",
" <td>6.4</td>\n",
" <td>0.570</td>\n",
" <td>0.12</td>\n",
" <td>2.30</td>\n",
" <td>0.120</td>\n",
" <td>25.0</td>\n",
" <td>36.0</td>\n",
" <td>0.99519</td>\n",
" <td>3.47</td>\n",
" <td>0.71</td>\n",
" <td>11.3</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>430</th>\n",
" <td>10.5</td>\n",
" <td>0.240</td>\n",
" <td>0.47</td>\n",
" <td>2.10</td>\n",
" <td>0.066</td>\n",
" <td>6.0</td>\n",
" <td>24.0</td>\n",
" <td>0.99780</td>\n",
" <td>3.15</td>\n",
" <td>0.90</td>\n",
" <td>11.0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1177</th>\n",
" <td>7.1</td>\n",
" <td>0.660</td>\n",
" <td>0.00</td>\n",
" <td>2.40</td>\n",
" <td>0.052</td>\n",
" <td>6.0</td>\n",
" <td>11.0</td>\n",
" <td>0.99318</td>\n",
" <td>3.35</td>\n",
" <td>0.66</td>\n",
" <td>12.7</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1157</th>\n",
" <td>5.1</td>\n",
" <td>0.510</td>\n",
" <td>0.18</td>\n",
" <td>2.10</td>\n",
" <td>0.042</td>\n",
" <td>16.0</td>\n",
" <td>101.0</td>\n",
" <td>0.99240</td>\n",
" <td>3.46</td>\n",
" <td>0.87</td>\n",
" <td>12.9</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>420</th>\n",
" <td>9.5</td>\n",
" <td>0.560</td>\n",
" <td>0.33</td>\n",
" <td>2.40</td>\n",
" <td>0.089</td>\n",
" <td>35.0</td>\n",
" <td>67.0</td>\n",
" <td>0.99720</td>\n",
" <td>3.28</td>\n",
" <td>0.73</td>\n",
" <td>11.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1160</th>\n",
" <td>10.6</td>\n",
" <td>0.360</td>\n",
" <td>0.57</td>\n",
" <td>2.30</td>\n",
" <td>0.087</td>\n",
" <td>6.0</td>\n",
" <td>20.0</td>\n",
" <td>0.99676</td>\n",
" <td>3.14</td>\n",
" <td>0.72</td>\n",
" <td>11.1</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>421</th>\n",
" <td>6.6</td>\n",
" <td>0.840</td>\n",
" <td>0.03</td>\n",
" <td>2.30</td>\n",
" <td>0.059</td>\n",
" <td>32.0</td>\n",
" <td>48.0</td>\n",
" <td>0.99520</td>\n",
" <td>3.52</td>\n",
" <td>0.56</td>\n",
" <td>12.3</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>425</th>\n",
" <td>6.6</td>\n",
" <td>0.840</td>\n",
" <td>0.03</td>\n",
" <td>2.30</td>\n",
" <td>0.059</td>\n",
" <td>32.0</td>\n",
" <td>48.0</td>\n",
" <td>0.99520</td>\n",
" <td>3.52</td>\n",
" <td>0.56</td>\n",
" <td>12.3</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>966</th>\n",
" <td>9.0</td>\n",
" <td>0.380</td>\n",
" <td>0.41</td>\n",
" <td>2.40</td>\n",
" <td>0.103</td>\n",
" <td>6.0</td>\n",
" <td>10.0</td>\n",
" <td>0.99604</td>\n",
" <td>3.13</td>\n",
" <td>0.58</td>\n",
" <td>11.9</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>423</th>\n",
" <td>10.5</td>\n",
" <td>0.240</td>\n",
" <td>0.47</td>\n",
" <td>2.10</td>\n",
" <td>0.066</td>\n",
" <td>6.0</td>\n",
" <td>24.0</td>\n",
" <td>0.99780</td>\n",
" <td>3.15</td>\n",
" <td>0.90</td>\n",
" <td>11.0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1162</th>\n",
" <td>8.5</td>\n",
" <td>0.320</td>\n",
" <td>0.42</td>\n",
" <td>2.30</td>\n",
" <td>0.075</td>\n",
" <td>12.0</td>\n",
" <td>19.0</td>\n",
" <td>0.99434</td>\n",
" <td>3.14</td>\n",
" <td>0.71</td>\n",
" <td>11.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>243</th>\n",
" <td>15.0</td>\n",
" <td>0.210</td>\n",
" <td>0.44</td>\n",
" <td>2.20</td>\n",
" <td>0.075</td>\n",
" <td>10.0</td>\n",
" <td>24.0</td>\n",
" <td>1.00005</td>\n",
" <td>3.07</td>\n",
" <td>0.84</td>\n",
" <td>9.2</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1206</th>\n",
" <td>7.2</td>\n",
" <td>0.360</td>\n",
" <td>0.46</td>\n",
" <td>2.10</td>\n",
" <td>0.074</td>\n",
" <td>24.0</td>\n",
" <td>44.0</td>\n",
" <td>0.99534</td>\n",
" <td>3.40</td>\n",
" <td>0.85</td>\n",
" <td>11.0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1209</th>\n",
" <td>6.2</td>\n",
" <td>0.390</td>\n",
" <td>0.43</td>\n",
" <td>2.00</td>\n",
" <td>0.071</td>\n",
" <td>14.0</td>\n",
" <td>24.0</td>\n",
" <td>0.99428</td>\n",
" <td>3.45</td>\n",
" <td>0.87</td>\n",
" <td>11.2</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>10.0</td>\n",
" <td>0.310</td>\n",
" <td>0.47</td>\n",
" <td>2.60</td>\n",
" <td>0.085</td>\n",
" <td>14.0</td>\n",
" <td>33.0</td>\n",
" <td>0.99965</td>\n",
" <td>3.36</td>\n",
" <td>0.80</td>\n",
" <td>10.5</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>443</th>\n",
" <td>10.0</td>\n",
" <td>0.440</td>\n",
" <td>0.49</td>\n",
" <td>2.70</td>\n",
" <td>0.077</td>\n",
" <td>11.0</td>\n",
" <td>19.0</td>\n",
" <td>0.99630</td>\n",
" <td>3.23</td>\n",
" <td>0.63</td>\n",
" <td>11.6</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1147</th>\n",
" <td>10.0</td>\n",
" <td>0.410</td>\n",
" <td>0.45</td>\n",
" <td>6.20</td>\n",
" <td>0.071</td>\n",
" <td>6.0</td>\n",
" <td>14.0</td>\n",
" <td>0.99702</td>\n",
" <td>3.21</td>\n",
" <td>0.49</td>\n",
" <td>11.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1003</th>\n",
" <td>6.8</td>\n",
" <td>0.360</td>\n",
" <td>0.32</td>\n",
" <td>1.80</td>\n",
" <td>0.067</td>\n",
" <td>4.0</td>\n",
" <td>8.0</td>\n",
" <td>0.99280</td>\n",
" <td>3.36</td>\n",
" <td>0.55</td>\n",
" <td>12.8</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>978</th>\n",
" <td>7.0</td>\n",
" <td>0.400</td>\n",
" <td>0.32</td>\n",
" <td>3.60</td>\n",
" <td>0.061</td>\n",
" <td>9.0</td>\n",
" <td>29.0</td>\n",
" <td>0.99416</td>\n",
" <td>3.28</td>\n",
" <td>0.49</td>\n",
" <td>11.3</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>929</th>\n",
" <td>8.7</td>\n",
" <td>0.330</td>\n",
" <td>0.38</td>\n",
" <td>3.30</td>\n",
" <td>0.063</td>\n",
" <td>10.0</td>\n",
" <td>19.0</td>\n",
" <td>0.99468</td>\n",
" <td>3.30</td>\n",
" <td>0.73</td>\n",
" <td>12.0</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>974</th>\n",
" <td>8.8</td>\n",
" <td>0.330</td>\n",
" <td>0.41</td>\n",
" <td>5.90</td>\n",
" <td>0.073</td>\n",
" <td>7.0</td>\n",
" <td>13.0</td>\n",
" <td>0.99658</td>\n",
" <td>3.30</td>\n",
" <td>0.62</td>\n",
" <td>12.1</td>\n",
" <td>7</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>100 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality\n",
"495 10.7 0.350 0.53 2.60 0.070 5.0 16.0 0.99720 3.15 0.65 11.0 8\n",
"1403 7.2 0.330 0.33 1.70 0.061 3.0 13.0 0.99600 3.23 1.10 10.0 8\n",
"390 5.6 0.850 0.05 1.40 0.045 12.0 88.0 0.99240 3.56 0.82 12.9 8\n",
"1061 9.1 0.400 0.50 1.80 0.071 7.0 16.0 0.99462 3.21 0.69 12.5 8\n",
"1202 8.6 0.420 0.39 1.80 0.068 6.0 12.0 0.99516 3.35 0.69 11.7 8\n",
"828 7.8 0.570 0.09 2.30 0.065 34.0 45.0 0.99417 3.46 0.74 12.7 8\n",
"481 9.4 0.300 0.56 2.80 0.080 6.0 17.0 0.99640 3.15 0.92 11.7 8\n",
"455 11.3 0.620 0.67 5.20 0.086 6.0 19.0 0.99880 3.22 0.69 13.4 8\n",
"1449 7.2 0.380 0.31 2.00 0.056 15.0 29.0 0.99472 3.23 0.76 11.3 8\n",
"440 12.6 0.310 0.72 2.20 0.072 6.0 29.0 0.99870 2.88 0.82 9.8 8\n",
"1549 7.4 0.360 0.30 1.80 0.074 17.0 24.0 0.99419 3.24 0.70 11.4 8\n",
"498 10.7 0.350 0.53 2.60 0.070 5.0 16.0 0.99720 3.15 0.65 11.0 8\n",
"267 7.9 0.350 0.46 3.60 0.078 15.0 37.0 0.99730 3.35 0.86 12.8 8\n",
"1269 5.5 0.490 0.03 1.80 0.044 28.0 87.0 0.99080 3.50 0.82 14.0 8\n",
"278 10.3 0.320 0.45 6.40 0.073 5.0 13.0 0.99760 3.23 0.82 12.6 8\n",
"1120 7.9 0.540 0.34 2.50 0.076 8.0 17.0 0.99235 3.20 0.72 13.1 8\n",
"588 5.0 0.420 0.24 2.00 0.060 19.0 50.0 0.99170 3.72 0.74 14.0 8\n",
"1090 10.0 0.260 0.54 1.90 0.083 42.0 74.0 0.99451 2.98 0.63 11.8 8\n",
"488 11.6 0.320 0.55 2.80 0.081 35.0 67.0 1.00020 3.32 0.92 10.8 7\n",
"491 9.2 0.410 0.50 2.50 0.055 12.0 25.0 0.99520 3.34 0.79 13.3 7\n",
"996 5.6 0.660 0.00 2.20 0.087 3.0 11.0 0.99378 3.71 0.63 12.8 7\n",
"1132 7.4 0.360 0.34 1.80 0.075 18.0 38.0 0.99330 3.38 0.88 13.6 7\n",
"492 8.9 0.400 0.51 2.60 0.052 13.0 27.0 0.99500 3.32 0.90 13.4 7\n",
"357 10.5 0.420 0.66 2.95 0.116 12.0 29.0 0.99700 3.24 0.75 11.7 7\n",
"1133 7.2 0.480 0.07 5.50 0.089 10.0 18.0 0.99684 3.37 0.68 11.2 7\n",
"1134 8.5 0.280 0.35 1.70 0.061 6.0 15.0 0.99524 3.30 0.74 11.8 7\n",
"896 8.3 0.310 0.39 2.40 0.078 17.0 43.0 0.99444 3.31 0.77 12.5 7\n",
"887 10.7 0.520 0.38 2.60 0.066 29.0 56.0 0.99577 3.15 0.79 12.1 7\n",
"901 7.4 0.635 0.10 2.40 0.080 16.0 33.0 0.99736 3.58 0.69 10.8 7\n",
"902 7.4 0.635 0.10 2.40 0.080 16.0 33.0 0.99736 3.58 0.69 10.8 7\n",
"... ... ... ... ... ... ... ... ... ... ... ... ...\n",
"948 8.9 0.120 0.45 1.80 0.075 10.0 21.0 0.99552 3.41 0.76 11.9 7\n",
"949 8.9 0.120 0.45 1.80 0.075 10.0 21.0 0.99552 3.41 0.76 11.9 7\n",
"950 8.9 0.120 0.45 1.80 0.075 10.0 21.0 0.99552 3.41 0.76 11.9 7\n",
"951 8.3 0.280 0.48 2.10 0.093 6.0 12.0 0.99408 3.26 0.62 12.4 7\n",
"952 8.2 0.310 0.40 2.20 0.058 6.0 10.0 0.99536 3.31 0.68 11.2 7\n",
"1192 7.2 0.250 0.37 2.50 0.063 11.0 41.0 0.99439 3.52 0.80 12.4 7\n",
"953 10.2 0.340 0.48 2.10 0.052 5.0 9.0 0.99458 3.20 0.69 12.1 7\n",
"230 5.2 0.480 0.04 1.60 0.054 19.0 106.0 0.99270 3.54 0.62 12.2 7\n",
"1156 8.5 0.180 0.51 1.75 0.071 45.0 88.0 0.99524 3.33 0.76 11.8 7\n",
"958 6.4 0.570 0.12 2.30 0.120 25.0 36.0 0.99519 3.47 0.71 11.3 7\n",
"430 10.5 0.240 0.47 2.10 0.066 6.0 24.0 0.99780 3.15 0.90 11.0 7\n",
"1177 7.1 0.660 0.00 2.40 0.052 6.0 11.0 0.99318 3.35 0.66 12.7 7\n",
"1157 5.1 0.510 0.18 2.10 0.042 16.0 101.0 0.99240 3.46 0.87 12.9 7\n",
"420 9.5 0.560 0.33 2.40 0.089 35.0 67.0 0.99720 3.28 0.73 11.8 7\n",
"1160 10.6 0.360 0.57 2.30 0.087 6.0 20.0 0.99676 3.14 0.72 11.1 7\n",
"421 6.6 0.840 0.03 2.30 0.059 32.0 48.0 0.99520 3.52 0.56 12.3 7\n",
"425 6.6 0.840 0.03 2.30 0.059 32.0 48.0 0.99520 3.52 0.56 12.3 7\n",
"966 9.0 0.380 0.41 2.40 0.103 6.0 10.0 0.99604 3.13 0.58 11.9 7\n",
"423 10.5 0.240 0.47 2.10 0.066 6.0 24.0 0.99780 3.15 0.90 11.0 7\n",
"1162 8.5 0.320 0.42 2.30 0.075 12.0 19.0 0.99434 3.14 0.71 11.8 7\n",
"243 15.0 0.210 0.44 2.20 0.075 10.0 24.0 1.00005 3.07 0.84 9.2 7\n",
"1206 7.2 0.360 0.46 2.10 0.074 24.0 44.0 0.99534 3.40 0.85 11.0 7\n",
"1209 6.2 0.390 0.43 2.00 0.071 14.0 24.0 0.99428 3.45 0.87 11.2 7\n",
"259 10.0 0.310 0.47 2.60 0.085 14.0 33.0 0.99965 3.36 0.80 10.5 7\n",
"443 10.0 0.440 0.49 2.70 0.077 11.0 19.0 0.99630 3.23 0.63 11.6 7\n",
"1147 10.0 0.410 0.45 6.20 0.071 6.0 14.0 0.99702 3.21 0.49 11.8 7\n",
"1003 6.8 0.360 0.32 1.80 0.067 4.0 8.0 0.99280 3.36 0.55 12.8 7\n",
"978 7.0 0.400 0.32 3.60 0.061 9.0 29.0 0.99416 3.28 0.49 11.3 7\n",
"929 8.7 0.330 0.38 3.30 0.063 10.0 19.0 0.99468 3.30 0.73 12.0 7\n",
"974 8.8 0.330 0.41 5.90 0.073 7.0 13.0 0.99658 3.30 0.62 12.1 7\n",
"\n",
"[100 rows x 12 columns]"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sorted_df=df.sort_values(by='quality', ascending=False)\n",
"sorted_df.head(100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Get mean for all colum with highest mark_"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"fixed acidity 8.566667\n",
"volatile acidity 0.423333\n",
"citric acid 0.391111\n",
"residual sugar 2.577778\n",
"chlorides 0.068444\n",
"free sulfur dioxide 13.277778\n",
"total sulfur dioxide 33.444444\n",
"density 0.995212\n",
"pH 3.267222\n",
"sulphates 0.767778\n",
"alcohol 12.094444\n",
"quality 8.000000\n",
"dtype: float64\n"
]
}
],
"source": [
"print(df[df['quality'] == 8].mean())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Create pivot\\_table_"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>alcohol</th>\n",
" <th>chlorides</th>\n",
" <th>citric acid</th>\n",
" <th>density</th>\n",
" <th>fixed acidity</th>\n",
" <th>free sulfur dioxide</th>\n",
" <th>pH</th>\n",
" <th>residual sugar</th>\n",
" <th>sulphates</th>\n",
" <th>total sulfur dioxide</th>\n",
" <th>volatile acidity</th>\n",
" </tr>\n",
" <tr>\n",
" <th>quality</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>9.925</td>\n",
" <td>0.0905</td>\n",
" <td>0.035</td>\n",
" <td>0.997565</td>\n",
" <td>7.50</td>\n",
" <td>6.0</td>\n",
" <td>3.39</td>\n",
" <td>2.1</td>\n",
" <td>0.545</td>\n",
" <td>15.0</td>\n",
" <td>0.845</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>10.000</td>\n",
" <td>0.0800</td>\n",
" <td>0.090</td>\n",
" <td>0.996500</td>\n",
" <td>7.50</td>\n",
" <td>11.0</td>\n",
" <td>3.37</td>\n",
" <td>2.1</td>\n",
" <td>0.560</td>\n",
" <td>26.0</td>\n",
" <td>0.670</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>9.700</td>\n",
" <td>0.0810</td>\n",
" <td>0.230</td>\n",
" <td>0.997000</td>\n",
" <td>7.80</td>\n",
" <td>15.0</td>\n",
" <td>3.30</td>\n",
" <td>2.2</td>\n",
" <td>0.580</td>\n",
" <td>47.0</td>\n",
" <td>0.580</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>10.500</td>\n",
" <td>0.0780</td>\n",
" <td>0.260</td>\n",
" <td>0.996560</td>\n",
" <td>7.90</td>\n",
" <td>14.0</td>\n",
" <td>3.32</td>\n",
" <td>2.2</td>\n",
" <td>0.640</td>\n",
" <td>35.0</td>\n",
" <td>0.490</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>11.500</td>\n",
" <td>0.0730</td>\n",
" <td>0.400</td>\n",
" <td>0.995770</td>\n",
" <td>8.80</td>\n",
" <td>11.0</td>\n",
" <td>3.28</td>\n",
" <td>2.3</td>\n",
" <td>0.740</td>\n",
" <td>27.0</td>\n",
" <td>0.370</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>12.150</td>\n",
" <td>0.0705</td>\n",
" <td>0.420</td>\n",
" <td>0.994940</td>\n",
" <td>8.25</td>\n",
" <td>7.5</td>\n",
" <td>3.23</td>\n",
" <td>2.1</td>\n",
" <td>0.740</td>\n",
" <td>21.5</td>\n",
" <td>0.370</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" alcohol chlorides citric acid density fixed acidity free sulfur dioxide pH residual sugar sulphates total sulfur dioxide volatile acidity\n",
"quality \n",
"3 9.925 0.0905 0.035 0.997565 7.50 6.0 3.39 2.1 0.545 15.0 0.845\n",
"4 10.000 0.0800 0.090 0.996500 7.50 11.0 3.37 2.1 0.560 26.0 0.670\n",
"5 9.700 0.0810 0.230 0.997000 7.80 15.0 3.30 2.2 0.580 47.0 0.580\n",
"6 10.500 0.0780 0.260 0.996560 7.90 14.0 3.32 2.2 0.640 35.0 0.490\n",
"7 11.500 0.0730 0.400 0.995770 8.80 11.0 3.28 2.3 0.740 27.0 0.370\n",
"8 12.150 0.0705 0.420 0.994940 8.25 7.5 3.23 2.1 0.740 21.5 0.370"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"colum_names = ['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar', 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density', 'pH', 'sulphates', 'alcohol']\n",
"df_pivot_table = df.pivot_table(colum_names,['quality'], aggfunc='median')\n",
"\n",
"df_pivot_table"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- _Corelation matrix_"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"quality 1.000000\n",
"alcohol 0.476166\n",
"sulphates 0.251397\n",
"citric acid 0.226373\n",
"fixed acidity 0.124052\n",
"residual sugar 0.013732\n",
"free sulfur dioxide -0.050656\n",
"pH -0.057731\n",
"chlorides -0.128907\n",
"density -0.174919\n",
"total sulfur dioxide -0.185100\n",
"volatile acidity -0.390558\n",
"Name: quality, dtype: float64"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"corr_matrix = df.corr()\n",
"corr_matrix[\"quality\"].sort_values(ascending=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***\n",
"## Data visualization\n",
"***"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Data distribution"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(6, 5))\n",
"sns.barplot(x='quality', y='sulphates', data=df)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Histograms"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x360 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.hist(bins=10,figsize=(6, 5))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Density Plots"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.plot(kind='density', subplots=True, layout=(4,3), sharex=False)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(df['quality'], hist=True, kde=True,\n",
" bins='auto', color = 'darkblue',\n",
" hist_kws={'edgecolor':'black'},\n",
" kde_kws={'linewidth': 4})\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Column names"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"colum_names = ['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar', 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density', 'pH', 'sulphates', 'alcohol', 'quality']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"correlations = df.corr()\n",
"# Plot figsize\n",
"fig, ax = plt.subplots(figsize=(10, 10))\n",
"# Generate Color Map\n",
"colormap = sns.diverging_palette(220, 10, as_cmap=True)\n",
"# Generate Heat Map, allow annotations and place floats in map\n",
"sns.heatmap(correlations, cmap=colormap, annot=True, fmt=\".2f\")\n",
"ax.set_xticklabels(\n",
" colum_names,\n",
" rotation=45,\n",
" horizontalalignment='right'\n",
");\n",
"ax.set_yticklabels(colum_names);\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x432 with 144 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sm = scatter_matrix(df, figsize=(6, 6), diagonal='kde')\n",
"#Change label rotation\n",
"[s.xaxis.label.set_rotation(40) for s in sm.reshape(-1)]\n",
"[s.yaxis.label.set_rotation(0) for s in sm.reshape(-1)]\n",
"#May need to offset label when rotating to prevent overlap of figure\n",
"[s.get_yaxis().set_label_coords(-0.6,0.5) for s in sm.reshape(-1)]\n",
"#Hide all ticks\n",
"[s.set_xticks(()) for s in sm.reshape(-1)]\n",
"[s.set_yticks(()) for s in sm.reshape(-1)]\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***\n",
"## Data Preprocessing\n",
"***"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"+ Making binary classificaion for the response variable."
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fixed acidity</th>\n",
" <th>volatile acidity</th>\n",
" <th>citric acid</th>\n",
" <th>residual sugar</th>\n",
" <th>chlorides</th>\n",
" <th>free sulfur dioxide</th>\n",
" <th>total sulfur dioxide</th>\n",
" <th>density</th>\n",
" <th>pH</th>\n",
" <th>sulphates</th>\n",
" <th>alcohol</th>\n",
" <th>quality</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>7.4</td>\n",
" <td>0.70</td>\n",
" <td>0.00</td>\n",
" <td>1.9</td>\n",
" <td>0.076</td>\n",
" <td>11.0</td>\n",
" <td>34.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.51</td>\n",
" <td>0.56</td>\n",
" <td>9.4</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>7.8</td>\n",
" <td>0.88</td>\n",
" <td>0.00</td>\n",
" <td>2.6</td>\n",
" <td>0.098</td>\n",
" <td>25.0</td>\n",
" <td>67.0</td>\n",
" <td>0.9968</td>\n",
" <td>3.20</td>\n",
" <td>0.68</td>\n",
" <td>9.8</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>7.8</td>\n",
" <td>0.76</td>\n",
" <td>0.04</td>\n",
" <td>2.3</td>\n",
" <td>0.092</td>\n",
" <td>15.0</td>\n",
" <td>54.0</td>\n",
" <td>0.9970</td>\n",
" <td>3.26</td>\n",
" <td>0.65</td>\n",
" <td>9.8</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>11.2</td>\n",
" <td>0.28</td>\n",
" <td>0.56</td>\n",
" <td>1.9</td>\n",
" <td>0.075</td>\n",
" <td>17.0</td>\n",
" <td>60.0</td>\n",
" <td>0.9980</td>\n",
" <td>3.16</td>\n",
" <td>0.58</td>\n",
" <td>9.8</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7.4</td>\n",
" <td>0.70</td>\n",
" <td>0.00</td>\n",
" <td>1.9</td>\n",
" <td>0.076</td>\n",
" <td>11.0</td>\n",
" <td>34.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.51</td>\n",
" <td>0.56</td>\n",
" <td>9.4</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>7.4</td>\n",
" <td>0.66</td>\n",
" <td>0.00</td>\n",
" <td>1.8</td>\n",
" <td>0.075</td>\n",
" <td>13.0</td>\n",
" <td>40.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.51</td>\n",
" <td>0.56</td>\n",
" <td>9.4</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7.9</td>\n",
" <td>0.60</td>\n",
" <td>0.06</td>\n",
" <td>1.6</td>\n",
" <td>0.069</td>\n",
" <td>15.0</td>\n",
" <td>59.0</td>\n",
" <td>0.9964</td>\n",
" <td>3.30</td>\n",
" <td>0.46</td>\n",
" <td>9.4</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7.3</td>\n",
" <td>0.65</td>\n",
" <td>0.00</td>\n",
" <td>1.2</td>\n",
" <td>0.065</td>\n",
" <td>15.0</td>\n",
" <td>21.0</td>\n",
" <td>0.9946</td>\n",
" <td>3.39</td>\n",
" <td>0.47</td>\n",
" <td>10.0</td>\n",
" <td>good</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>7.8</td>\n",
" <td>0.58</td>\n",
" <td>0.02</td>\n",
" <td>2.0</td>\n",
" <td>0.073</td>\n",
" <td>9.0</td>\n",
" <td>18.0</td>\n",
" <td>0.9968</td>\n",
" <td>3.36</td>\n",
" <td>0.57</td>\n",
" <td>9.5</td>\n",
" <td>good</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>7.5</td>\n",
" <td>0.50</td>\n",
" <td>0.36</td>\n",
" <td>6.1</td>\n",
" <td>0.071</td>\n",
" <td>17.0</td>\n",
" <td>102.0</td>\n",
" <td>0.9978</td>\n",
" <td>3.35</td>\n",
" <td>0.80</td>\n",
" <td>10.5</td>\n",
" <td>bad</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality\n",
"0 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 bad\n",
"1 7.8 0.88 0.00 2.6 0.098 25.0 67.0 0.9968 3.20 0.68 9.8 bad\n",
"2 7.8 0.76 0.04 2.3 0.092 15.0 54.0 0.9970 3.26 0.65 9.8 bad\n",
"3 11.2 0.28 0.56 1.9 0.075 17.0 60.0 0.9980 3.16 0.58 9.8 bad\n",
"4 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 bad\n",
"5 7.4 0.66 0.00 1.8 0.075 13.0 40.0 0.9978 3.51 0.56 9.4 bad\n",
"6 7.9 0.60 0.06 1.6 0.069 15.0 59.0 0.9964 3.30 0.46 9.4 bad\n",
"7 7.3 0.65 0.00 1.2 0.065 15.0 21.0 0.9946 3.39 0.47 10.0 good\n",
"8 7.8 0.58 0.02 2.0 0.073 9.0 18.0 0.9968 3.36 0.57 9.5 good\n",
"9 7.5 0.50 0.36 6.1 0.071 17.0 102.0 0.9978 3.35 0.80 10.5 bad"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Dividing wine as good and bad by giving the limit for the quality\n",
"bins = (2, 6, 8)\n",
"group_names = ['bad', 'good']\n",
"df['quality'] = pd.cut(df['quality'], bins = bins, labels = group_names)\n",
"df.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Now lets assign a labels to our quality variable"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 1382\n",
"1 217\n",
"Name: quality, dtype: int64"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"label_quality = LabelEncoder()\n",
"# Bad becomes 0 and good becomes 1\n",
"df['quality'] = label_quality.fit_transform(df['quality'])\n",
"df['quality'].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Now seperate the dataset as response variable and feature variabes"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"\n",
"X = df.drop('quality', axis=1)\n",
"y = df['quality']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Train and Test splitting of data"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=50)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Applying Standard scaling to get optimized result"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"sc = StandardScaler()\n",
"X_train = sc.fit_transform(X_train)\n",
"X_test = sc.fit_transform(X_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***\n",
"## Machine learning algorithms\n",
"***"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"# import warnings filter\n",
"from warnings import simplefilter\n",
"# ignore all future warnings\n",
"simplefilter(action='ignore', category=FutureWarning)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_Prepare configuration for cross validation test harness_"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"SupportVectorClassifier: 0.873364 (0.024056)\n",
"StochasticGradientDecentC: 0.839739 (0.029603)\n",
"RandomForestClassifier: 0.902288 (0.023954)\n",
"DecisionTreeClassifier: 0.847558 (0.033112)\n",
"GaussianNB: 0.826446 (0.025753)\n",
"KNeighborsClassifier: 0.860845 (0.026717)\n",
"AdaBoostClassifier: 0.866351 (0.039970)\n",
"LogisticRegression: 0.871014 (0.028362)\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"seed = 7\n",
"# prepare models\n",
"models = []\n",
"models.append(('SupportVectorClassifier', SVC()))\n",
"models.append(('StochasticGradientDecentC', SGDClassifier()))\n",
"models.append(('RandomForestClassifier', RandomForestClassifier()))\n",
"models.append(('DecisionTreeClassifier', DecisionTreeClassifier()))\n",
"models.append(('GaussianNB', GaussianNB()))\n",
"models.append(('KNeighborsClassifier', KNeighborsClassifier()))\n",
"models.append(('AdaBoostClassifier', AdaBoostClassifier()))\n",
"models.append(('LogisticRegression', LogisticRegression()))\n",
"\n",
"# evaluate each model in turn\n",
"results = []\n",
"names = []\n",
"scoring = 'accuracy'\n",
"for name, model in models:\n",
"\tkfold = model_selection.KFold(n_splits=10, random_state=seed)\n",
"\tcv_results = model_selection.cross_val_score(model, X_train, y_train, cv=kfold, scoring=scoring)\n",
"\tresults.append(cv_results)\n",
"\tnames.append(name)\n",
"\tmsg = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n",
"\tprint(msg)\n",
"# boxplot algorithm comparison\n",
"fig = plt.figure()\n",
"fig.suptitle('Algorithm Comparison')\n",
"ax = fig.add_subplot(111)\n",
"plt.boxplot(results)\n",
"ax.set_xticklabels(names)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**1) Support Vector Classifier (svc)**\n"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"svc = SVC()\n",
"svc.fit(X_train, y_train)\n",
"pred_svc = svc.predict(X_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_Grid Search CV (finding best parameters for svc model)_"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"def svc_param_selection(X, y, nfolds):\n",
" param = {\n",
" 'C': [0.1, 0.8, 0.9, 1, 1.1, 1.2, 1.3, 1.4],\n",
" 'kernel': ['linear', 'rbf'],\n",
" 'gamma': [0.1, 0.8, 0.9, 1, 1.1, 1.2, 1.3, 1.4]\n",
" }\n",
" grid_search = GridSearchCV(svc, param_grid=param, scoring='accuracy', cv=nfolds)\n",
" grid_search.fit(X, y)\n",
" return grid_search.best_params_"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'C': 1.3, 'gamma': 1.3, 'kernel': 'rbf'}"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"svc_param_selection(X_train, y_train,10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_Best params had found **{'C': 1.3, 'gamma': 1.3, 'kernel': 'rbf'}**_"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_Let's run our SVC again with the best parameters._"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion matrix\n",
"[[285 2]\n",
" [ 18 15]]\n",
"Classification report\n",
" precision recall f1-score support\n",
"\n",
" 0 0.94 0.99 0.97 287\n",
" 1 0.88 0.45 0.60 33\n",
"\n",
" accuracy 0.94 320\n",
" macro avg 0.91 0.72 0.78 320\n",
"weighted avg 0.93 0.94 0.93 320\n",
"\n",
"Accuracy score 0.9375\n"
]
}
],
"source": [
"\n",
"svc2 = SVC(C = 1.3, gamma = 1.3, kernel= 'rbf')\n",
"svc2.fit(X_train, y_train)\n",
"pred_svc2 = svc2.predict(X_test)\n",
"print('Confusion matrix')\n",
"print(confusion_matrix(y_test, pred_svc2))\n",
"print('Classification report')\n",
"print(classification_report(y_test, pred_svc2))\n",
"print('Accuracy score',accuracy_score(y_test, pred_svc2))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**2) Stochastic Gradient Decent Classifier**"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [],
"source": [
"sgd = SGDClassifier(loss=\"hinge\", penalty=\"l2\", max_iter=60)\n",
"sgd.fit(X_train, y_train)\n",
"pred_sgd = sgd.predict(X_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**3) Random Forest Classifier**\n"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"rfc = RandomForestClassifier(n_estimators=200, max_depth=20,\n",
" random_state=0)\n",
"rfc.fit(X_train, y_train)\n",
"pred_rfc = rfc.predict(X_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**4) KNeighborsClassifier**"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"KNeighborsClassifier uniform\n",
" precision recall f1-score support\n",
"\n",
" 0 0.94 0.96 0.95 287\n",
" 1 0.56 0.42 0.48 33\n",
"\n",
" accuracy 0.91 320\n",
" macro avg 0.75 0.69 0.72 320\n",
"weighted avg 0.90 0.91 0.90 320\n",
"\n",
"KNeighborsClassifier distance\n",
" precision recall f1-score support\n",
"\n",
" 0 0.96 0.92 0.94 287\n",
" 1 0.51 0.70 0.59 33\n",
"\n",
" accuracy 0.90 320\n",
" macro avg 0.74 0.81 0.77 320\n",
"weighted avg 0.92 0.90 0.91 320\n",
"\n"
]
}
],
"source": [
"n_neighbors = 2\n",
"\n",
"for weights in ['uniform', 'distance']:\n",
" nbrs = KNeighborsClassifier(n_neighbors=n_neighbors, weights=weights)\n",
" nbrs.fit(X_train,y_train)\n",
" pred_nbrs = nbrs.predict(X_test)\n",
" print('KNeighborsClassifier', weights)\n",
" print(classification_report(y_test, pred_nbrs))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**5) AdaBoostClassifier**"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"ada_classifier = AdaBoostClassifier(n_estimators=100)\n",
"ada_classifier.fit(X_train, y_train)\n",
"pred_ada = ada_classifier.predict(X_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**6) Evaluate model**"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"\n",
"def evaluate(model, test_features, test_labels):\n",
" predictions = model.predict(test_features)\n",
" print('Model Performance')\n",
" print('Average Error: {:0.4f} degrees.'.format(mean_absolute_error(test_labels,predictions)))\n",
" print('Accuracy = {:0.2f}%.'.format(accuracy_score(test_labels,predictions)*100))"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model Performance\n",
"Average Error: 0.0781 degrees.\n",
"Accuracy = 92.19%.\n",
"Model Performance\n",
"Average Error: 0.0625 degrees.\n",
"Accuracy = 93.75%.\n",
"Model Performance\n",
"Average Error: 0.1187 degrees.\n",
"Accuracy = 88.12%.\n",
"Model Performance\n",
"Average Error: 0.0625 degrees.\n",
"Accuracy = 93.75%.\n",
"Model Performance\n",
"Average Error: 0.0781 degrees.\n",
"Accuracy = 92.19%.\n"
]
}
],
"source": [
"evaluate(svc,X_test,y_test)\n",
"evaluate(svc2,X_test,y_test)\n",
"evaluate(sgd,X_test,y_test)\n",
"evaluate(rfc,X_test,y_test)\n",
"evaluate(ada_classifier,X_test,y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**7) Cross Validation**"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9030570818070818"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores = cross_val_score(ada_classifier,X_test,y_test, cv=5)\n",
"scores.mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**8) Feature importance**"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"importance=ada_classifier.feature_importances_\n",
"\n",
"std = np.std([tree.feature_importances_ for tree in ada_classifier.estimators_],\n",
" axis=0)\n",
"indices = np.argsort(importance)\n",
"\n",
"# Plot the feature importances of the forest\n",
"plt.figure()\n",
"plt.title(\"Feature importances\")\n",
"plt.barh(range(X.shape[1]), importance[indices],\n",
" color=\"b\", align=\"center\")\n",
"\n",
"plt.yticks(range(X.shape[1]), colum_names)\n",
"plt.ylim([0, X.shape[1]])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.0"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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